{"id":"W6948369349","doi":"10.5061/dryad.p021fq5","title":"Data from: Spatial variation in herbivory, climate and isolation predict plant height and fruit phenotype in Plectritis congesta island populations","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Population; Herbivore; Gene flow; Ungulate; Trait; Genetic variation; Natural selection; Heritability; Quantitative trait locus; Reproductive isolation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002112753,0.0001529381,0.0001288979,0.0003558955,0.0002586243,0.0002800596,0.0002189918,0.0001306175,0.001999035],"category_scores_gemma":[0.0006396128,0.0001093963,0.0002207581,0.0003581333,0.0002007929,0.0001272006,0.0003313731,0.0002131888,0.0003400811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896398,"about_ca_system_score_gemma":0.0001100211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01245889,"about_ca_topic_score_gemma":0.03221472,"domain_scores_codex":[0.9998803,0.00002485037,0.000009665091,0.00004745467,0.00002075445,0.00001700466],"domain_scores_gemma":[0.9993813,0.0001719037,0.0001608653,0.00009841423,0.00007114471,0.0001163984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000598668,0.00002155785,0.995416,0.000006340497,0.00003832476,0.00003372383,0.0001637299,0.0001087886,0.002546497,0.000008215831,0.0001098122,0.001487126],"study_design_scores_gemma":[0.000002159095,0.00001182842,0.9995583,8.330627e-7,0.000007447957,0.00002534512,0.00006430427,0.0001691562,0.00007273306,0.000002367295,0.00008463326,9.431666e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9993739,0.000003898221,0.00007300892,0.000002839139,3.278328e-7,0.000002636692,0.0003710316,0.000003184379,0.0001692531],"genre_scores_gemma":[0.9975275,0.000008020935,0.0002709891,0.00000599308,0.000001473064,0.00001845599,0.001935564,0.000004270584,0.0002277617],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.01245889,"threshold_uncertainty_score":0.02477276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248921240045831,"score_gpt":0.4084647034709562,"score_spread":0.2835725794663731,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}